A case-based reasoning approach to cost estimation of new product development

Relich, Marcin; Pawlewski, Paweł

doi:10.1016/j.neucom.2017.05.092

Cited by 66 publications

(65 citation statements)

References 24 publications

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“…To the extent that a project is complex, there is more uncertainty to deal with, and these uncertainties increase the risk of failure and the difficulties in estimating completion time, cost and quality [20]. Relich and Pawlewski [21] studied the relationships between past New Project Development (NPD) time and cost estimation, and developing new products. Previous data in organizational data-bases were considered as potential sources of information, and a neural network model was used to estimate cost of new product based on the past data.…”

Section: B Project Complexitymentioning

confidence: 99%

“…They also noted that tasks should be considered in evaluating resource complementarity. Mostly it is indicated in the literature that sharing knowledge and learning between partners, has a direct influence on enhancing new product performance [11], [21]. A previous study, which used data from international mutual investment in China, suggested that knowledge absorption of partners plays a critical role in learning and innovation [27].…”

Section: Knowledge Criteriamentioning

confidence: 99%

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A decision-making framework based on knowledge criteria for network partner selection

Vaez-Alaei

Deniaud

Marmier

et al. 2019

2019 International Conference on Industrial Engineering and Systems Management (IESM)

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In a complex project, an organization is often not able to manage all aspects alone, since it does not have all the required competences, skills or resources. In this case, alliance formation can be a solution for project development. Apart from simply managing complex projects, firms also find it important to increase innovativeness by sharing knowledge between partners in alliances. However, in alliances one of the difficulties is achieving effective collaboration: mis-communication, missing skills or missing resources create a high risk that the project fails to achieve its goals. In order to decrease the risk of failure, and to overcome potential collaboration inefficiency, partner selection takes place among firms that are able to communicate well while at the same time having the required knowledge to achieve their objectives. The important role of partner selection in alliances justifies the increased attention given to substantial criteria in alliance formation. Proposing a knowledge-based framework aimed at increasing the understanding of partner selection in alliances is the contribution of this paper. This knowledge can be gained by evaluating projects from a technological point of view to estimate their challenging degrees, and studying the partners background in past projects or partnerships. This paper structured to propose hypotheses based on a systematic literature review. At the heart of the hypotheses is a consideration of the needs of the project, and starting there allows us to characterize alliance formation and partner selection using a new typology. Finally, a novel framework is proposed that could help decisionmakers in the managerial aspects of partner selection in alliance formation. The framework also presents considerable potential for future studies.

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Section: B Project Complexitymentioning

confidence: 99%

Section: Knowledge Criteriamentioning

confidence: 99%

A decision-making framework based on knowledge criteria for network partner selection

Vaez-Alaei

Deniaud

Marmier

et al. 2019

2019 International Conference on Industrial Engineering and Systems Management (IESM)

View full text Add to dashboard Cite

show abstract

“…Most of the country's resources are supplied by imports at a high proportion of 97%. According to the 2017 Energy Supply and Demand Profile by the Bureau of Energy, Ministry of Economic Affairs, Taiwan's total power generation was 270,278 million kWh in 2017, or 2.33% more than the amount in 2016 (264,130 million kWh); electricity consumption per capita was 11,096.9 kWh, an increase of 2.17% over that in 2016 (10,861.6 kWh) [3]. However, statistics from energy-saving cases assisted by government agencies showed that various fields, such as electricity, lighting, air-conditioning, and office equipment, could help reduce about 20% of potential energy (https://egov.ftis.org.tw/achievement?cno=4; accessed on 22 July 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Huang [9] noted the key factors for sales personnel to sell sports shoes and established the weights of these factors according to case-based reasoning, so as to get the relevant technology for sales forecasts of new products before these products are launched. Relich and Pawlewski [10] applied case-based reasoning to neural networks to estimate the unique product development costs of a manufacturer. Faia et al [11] used case-based reasoning, expert system, and collective intelligence to discuss issues related to energy reduction for building energy management systems.…”

Section: Introductionmentioning

confidence: 99%

A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science

Chen

Yang

2020

Applied Sciences

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Energy conservation is one of the important topics for sustainability science, while case-based reasoning is one of the most important techniques for sustainable processing. This study aimed to develop a cloud case-based reasoning agent that integrates multiple intelligent technologies and supports, which can help users to quickly, accurately, and effectively obtain useful cloud energy-saving information in a timely manner for sustainability science. The system was successfully built with the support of Web services technology, ontology, and big data analytics. To set up this energy-saving case-based reasoning agent, this study reviewed the relevant technologies for building a web services platform and explored how to widely integrate and support the cloud interaction of the energy-saving data processing agent via the technologies. In addition to presenting relevant R&D technologies and results in detail, this study carefully conducted performance and learning experiments to prove the system’s effectiveness. The results showed that the core technology of the case-based reasoning agent achieved good performance and that the learning effectiveness of the overall system was also great.

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“…(Morgan, Obal, & FGIC2019Anokhin, 2018). The new product based on customer requirements for a new product will be collected using case-based reasoning approach, and customer response about the existing products and some attributes about a new product will lead the changes trends in the market (Relich & Pawlewski, 2018)…”

mentioning

confidence: 99%

A Concept Paper of Balanced Scorecard for New Product Development

Zhengxiaoming

Fernando

2019

KSS

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This study aims to review the concept of Balanced Scorecard (BSC) technique to develop a new product. BSC, as a strategic performance tool, has received closed attention from many organizations worldwide. However, the implementation has been limited. The globalization and economic upheaval have increased the challenges to the executive’s face and therefore need to find the right tools to overcome the challenges. The current paper focuses on the review of literature on the importance of BSC towards new product development and business performance. This paper suggests that the 4th generation balance scorecard leads the combination of the management system and performance measurement that brings up one big strategy maps, and possibly will use widely to satisfy the customer demands. This paper discusses the current issues and the emerging importance of BSC literature and suggests fruitful areas for further study.

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A case-based reasoning approach to cost estimation of new product development

Cited by 66 publications

References 24 publications

A decision-making framework based on knowledge criteria for network partner selection

A decision-making framework based on knowledge criteria for network partner selection

A Web Services, Ontology and Big Data Analysis Technology-Based Cloud Case-Based Reasoning Agent for Energy Conservation of Sustainability Science

A Concept Paper of Balanced Scorecard for New Product Development

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